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Tag: model evaluation

  • Cloud Blog: Evaluate your gen media models with multimodal evaluation on Vertex AI

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/evaluate-your-gen-media-models-on-vertex-ai/ Source: Cloud Blog Title: Evaluate your gen media models with multimodal evaluation on Vertex AI Feedly Summary: The world of generative AI is moving fast, with models like Lyria, Imagen, and Veo now capable of producing stunningly realistic and imaginative images and videos from simple text prompts. However, evaluating these models is…

  • OpenAI : Introducing HealthBench

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    Kurt Seifried
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    Source URL: https://openai.com/index/healthbench Source: OpenAI Title: Introducing HealthBench Feedly Summary: HealthBench is a new evaluation benchmark for AI in healthcare which evaluates models in realistic scenarios. Built with input from 250+ physicians, it aims to provide a shared standard for model performance and safety in health. AI Summary and Description: Yes Summary: HealthBench is an…

  • Simon Willison’s Weblog: Quoting Mark Zuckerberg

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/1/mark-zuckerberg/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Mark Zuckerberg Feedly Summary: You also mentioned the whole Chatbot Arena thing, which I think is interesting and points to the challenge around how you do benchmarking. How do you know what models are good for which things? One of the things we’ve generally tried to…

  • The Register: Meta accused of Llama 4 bait-and-switch to juice AI benchmark rank

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/04/08/meta_llama4_cheating/ Source: The Register Title: Meta accused of Llama 4 bait-and-switch to juice AI benchmark rank Feedly Summary: Did Facebook giant rizz up LLM to win over human voters? It appears so Meta submitted a specially crafted, non-public variant of its Llama 4 AI model to an online benchmark that may have unfairly…

  • Simon Willison’s Weblog: Quoting lmarena.ai

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/8/lmaren/#atom-everything Source: Simon Willison’s Weblog Title: Quoting lmarena.ai Feedly Summary: We’ve seen questions from the community about the latest release of Llama-4 on Arena. To ensure full transparency, we’re releasing 2,000+ head-to-head battle results for public review. […] In addition, we’re also adding the HF version of Llama-4-Maverick to Arena, with leaderboard results…

  • Hacker News: Every Flop Counts: Scaling a 300B LLM Without Premium GPUs

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2503.05139 Source: Hacker News Title: Every Flop Counts: Scaling a 300B LLM Without Premium GPUs Feedly Summary: Comments AI Summary and Description: Yes Summary: This technical report presents advancements in training large-scale Mixture-of-Experts (MoE) language models, namely Ling-Lite and Ling-Plus, highlighting their efficiency and comparable performance to industry benchmarks while significantly reducing training…

  • AWS News Blog: DeepSeek-R1 now available as a fully managed serverless model in Amazon Bedrock

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/aws/deepseek-r1-now-available-as-a-fully-managed-serverless-model-in-amazon-bedrock/ Source: AWS News Blog Title: DeepSeek-R1 now available as a fully managed serverless model in Amazon Bedrock Feedly Summary: DeepSeek-R1 is now available as a fully managed model in Amazon Bedrock, freeing up your teams to focus on strategic initiatives instead of managing infrastructure complexities. AI Summary and Description: Yes Summary: The…